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All Journal Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence
Nofrianto, Aldo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics

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Design and Implementation of a 16-Electrode Electrical Impedance Tomography Data Acquisition System for Medical Imaging Nofrianto, Aldo; Audy; Wardani, Aditya
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.752

Abstract

Electrical Impedance Tomography (EIT) is a non-invasive imaging modality that reconstructs the internal resistivity distribution of an object using electrical measurements acquired from boundary electrodes. This paper presents the design, implementation, and experimental validation of a 16-electrode EIT data acquisition system for medical imaging applications. The developed system consists of a signal generator, voltage-to-current converter (VCC), voltage measurement circuit, multiplexer/demultiplexer unit, microcontroller, and image reconstruction algorithm. Experimental evaluations were conducted to assess signal stability, current injection performance, and voltage measurement accuracy. The XR2206 signal generator produced stable output over a frequency range of 1 to 210 kHz with an output impedance of 0.0784 kohm. The LF412-based amplifier demonstrated linear operation up to 50 kHz, while the VCC generated stable injection currents ranging from 0.3 to 2 mA for load variations between 100 to 2000 ohms, with optimal stability at 10 kHz. Data acquisition was performed using the adjacent method on a 16-electrode phantom containing bovine bone as a resistive object. Image reconstruction using the iterative Newton-Raphson method with Tikhonov regularization successfully identified the position and boundaries of the object. The optimal imaging performance was achieved at an injection current of 0.3 mA and a frequency of 10 kHz. Overall, the system shows reliable imaging.
Sistem Pemantauan Keluaran Generator Set Berbasis IoT audy; Mudia, Halim; Nofrianto, Aldo
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1389

Abstract

This research is motivated by the ineffective maintenance of generator sets in hospitals. Gensets are crucial components that serve as backup power sources, especially during power outages from the main grid (PLN). However, in practice, genset maintenance is typically carried out only once every six months. During this time, there are no regular inspections, which means any potential damage or malfunction that occurs before the scheduled maintenance may go unnoticed. This can lead to operational disruptions in hospital areas that heavily rely on a stable power supply, like ICUs, operating rooms, and laboratories. A more effective and real-time genset monitoring system is required. This research aims to develop an Internet of Things (IoT) based genset condition monitoring system that can monitor key output parameters of the genset in real time. The monitored parameters include voltage (phases R, phases S, and phases T), current (phases R, phases S, and phases T), frequency, power (phases R, phases S, and phases T), total power, and generated energy. The data will be automatically transmitted to the Ubidots platform via the internet, allowing users to monitor the genset's condition anytime and anywhere through the website. This system is expected to improve maintenance effectiveness and minimize the risk of equipment failure.
Co-Authors Audy Halim Mudia Wardani, Aditya